AI Machine Learning Engineer - Modeling
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The role
Architect and implement scalable LLM/GenAI systems tailored for MarTech/AdTech use cases, including content generation, sentiment analysis, and personalization.
Fine-tune foundation models (LLMs/SLMs) with both open-source and proprietary data, delivering context-specific entities, intents, recommendations, and ranking.
Design and deploy agentic multi-agent pipelines using frameworks like LangGraph, AutoGen, or CrewAI.
Establish robust MLOps practices with real-time evaluation, A/B testing, monitoring, and ongoing learning in production.
Build scalable training and inference infrastructure leveraging multi-GPU environments and efficient data pipelines for rapid experimentation.
Collaborate with product, data, and engineering teams to turn AI prototypes into production services and translate research into working code.
Fine-tune foundation models (LLMs/SLMs) with both open-source and proprietary data, delivering context-specific entities, intents, recommendations, and ranking.
Design and deploy agentic multi-agent pipelines using frameworks like LangGraph, AutoGen, or CrewAI.
Establish robust MLOps practices with real-time evaluation, A/B testing, monitoring, and ongoing learning in production.
Build scalable training and inference infrastructure leveraging multi-GPU environments and efficient data pipelines for rapid experimentation.
Collaborate with product, data, and engineering teams to turn AI prototypes into production services and translate research into working code.
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